Coursera.org Dataset: extracted between 10/10/2016 and 14/10/2016

Some Statistics (Frequencies & Social Data)

Terms Frequencies
Terms Stats	Terms by Rating "1"	Terms by Rating "2"	Terms by Rating "3"	Terms by Rating "4"	Terms by Rating "5"	Total Reviews
Click here!	Click here!	Click here!	Click here!	Click here!	Click here!	73873

Emotional & Reaction Terms
Terms	Rating "1"	Rating "2"	Rating "3"	Rating "4"	Rating "5"	Reviews Count	Courses Count
Total	1639	1780	3946	15928	70854	-	-
Amazing	2	2	13	123	1786	1926	396
Awesome	5	3	11	157	1908	2084	380
Bad	95	56	65	82	72	370	184
Basic	96	138	255	554	1074	2117	371
Best	30	32	55	162	2408	2687	485
Boring	95	65	56	64	161	441	212
Clear	62	71	139	500	2256	3028	483
Cool	3	9	8	56	284	360	157
Difficult	59	81	94	227	366	827	291
Disappoint	95	66	45	27	21	254	159
Easy	26	51	186	695	2717	3675	456
Enjoy	10	16	77	502	2099	2704	502
Excellent	11	10	51	592	6168	6832	704
Fantastic	2	3	8	72	907	992	330
Good	158	199	801	3078	6967	11203	750
Great	48	67	261	1885	10334	12595	751
Hard	53	85	113	216	407	874	313
Hate	9	1	3	7	6	26	24
Helpful	30	44	100	398	1718	2290	439
Interesting	74	110	283	923	3272	4662	626
Like	177	184	384	993	2661	4399	590
Love	9	8	32	285	2493	2827	492
Nice	12	26	129	683	1630	2480	464
Poor	149	77	62	29	26	343	177
Recommend	76	43	44	330	2051	2544	519
Thank	17	17	83	783	6200	7100	644
Understand	102	124	221	855	3473	4775	586
Useful	61	81	166	651	2506	3465	538
Well	70	109	191	892	3878	5140	585
Wonderful	3	2	10	107	1005	1127	342

1) Aspect Terms (Rating and Sentiment : Using NLTK)
Terms	Rating "1"	Rating "2"	Rating "3"	Rating "4"	Rating "5"	Reviews Count	Courses Count
Total	3341	3301	5499	14940	54308	-	-
Assignment	204	208	333	840	1726	3311	428
Content	176	179	341	676	1641	3013	556
Course	843	733	1515	5657	25563	34311	904
Design	23	33	45	176	623	900	162
Exercise	29	46	94	290	693	1152	238
Information	100	123	238	523	1389	2373	494
Instructor	129	106	122	302	1514	2173	456
Knowledge	74	72	121	400	1604	2271	488
Lecture	185	206	290	613	1762	3056	499
Lecturer	32	41	48	85	461	667	263
Lesson	40	59	75	224	712	1110	337
Material	191	203	328	722	2234	3678	618
Method	19	23	40	125	404	611	232
Presentation	46	50	75	142	413	726	296
Professor	76	74	129	452	3001	3732	509
Quality	55	53	51	110	372	641	291
Question	94	98	172	284	356	1004	346
Quizz	151	155	221	401	581	1509	401
Slide	56	64	81	121	115	437	183
Speaker	17	15	34	70	170	306	161
Student	140	105	171	383	1035	1834	454
Teach	97	81	91	228	1392	1889	397
Teacher	62	46	82	293	2180	2663	450
Time	207	201	270	679	1599	2956	508
Topic	67	89	176	437	1154	1923	457
Video	228	238	356	707	1614	3143	570

2) Aspect Terms (Rating and Sentiment : Using NLTK with Naïve Bayes)
Terms	Rating "1"	Rating "2"	Rating "3"	Rating "4"	Rating "5"	Reviews Count	Courses Count
Total	3341	3301	5499	14940	54308	-	-
Assignment	204	208	333	840	1726	3311	428
Content	176	179	341	676	1641	3013	556
Course	843	733	1515	5657	25563	34311	904
Design	23	33	45	176	623	900	162
Exercise	29	46	94	290	693	1152	238
Information	100	123	238	523	1389	2373	494
Instructor	129	106	122	302	1514	2173	456
Knowledge	74	72	121	400	1604	2271	488
Lecture	185	206	290	613	1762	3056	499
Lecturer	32	41	48	85	461	667	263
Lesson	40	59	75	224	712	1110	337
Material	191	203	328	722	2234	3678	618
Method	19	23	40	125	404	611	232
Presentation	46	50	75	142	413	726	296
Professor	76	74	129	452	3001	3732	509
Quality	55	53	51	110	372	641	291
Question	94	98	172	284	356	1004	346
Quizz	151	155	221	401	581	1509	401
Slide	56	64	81	121	115	437	183
Speaker	17	15	34	70	170	306	161
Student	140	105	171	383	1035	1834	454
Teach	97	81	91	228	1392	1889	397
Teacher	62	46	82	293	2180	2663	450
Time	207	201	270	679	1599	2956	508
Topic	67	89	176	437	1154	1923	457
Video	228	238	356	707	1614	3143	570

Emoticons
Terms	Rating "1"	Rating "2"	Rating "3"	Rating "4"	Rating "5"	Reviews Count	Courses Count
Total	12	7	28	205	1281	-	-
Haha :D	0	0	0	17	137	154	90
Love <3	0	0	0	4	25	29	24
Sad :(	9	6	8	14	6	43	41
Smile :)	2	1	20	164	1064	1251	344

1) Using NLTK and two methods to estimate centroid "Average Polarity-Rating" and "Weighted Average Polarity-Rating"
Terms	Negative Aspects	Positive Aspects	Reviews Count	Courses Count
Assignment	1309	1620	2440	178
Content	452	1443	1784	188
Course	6948	30934	29778	609
Design	115	523	559	43
Exercise	252	541	733	69
Information	449	1119	1452	179
Instructor	321	1080	1300	139
Knowledge	371	985	1291	162
Lecture	1022	1419	2127	227
Lecturer	72	182	241	44
Lesson	163	414	519	80
Material	1069	1688	2522	283
Method	82	212	269	42
Presentation	88	187	264	59
Professor	366	2367	2503	168
Quality	112	154	250	57
Question	253	358	509	104
Quiz	522	525	902	132
Slide	123	103	190	47
Speaker	32	71	93	21
Student	531	729	1086	176
Teach	255	1006	1175	117
Teacher	191	1468	1575	105
Time	1102	1174	1992	229
Topic	411	816	1115	171
Video	1154	1286	2122	255

2) Using NLTK with Naïve Bayes and two methods to estimate centroid "Average Polarity-Rating" and "Weighted Average Polarity-Rating"
Terms	Negative Aspects	Positive Aspects	Reviews Count	Courses Count
Assignment	1057	1763	2384	186
Content	505	1496	1883	207
Course	5580	32345	29202	581
Design	154	489	557	48
Exercise	195	531	673	58
Information	299	1165	1359	143
Instructor	295	1107	1322	140
Knowledge	905	791	1243	178
Lecture	763	1508	1988	208
Lecturer	55	193	236	39
Lesson	187	420	554	84
Material	784	1693	2254	237
Method	53	187	224	31
Presentation	93	196	274	54
Professor	331	2234	2369	151
Quality	113	170	262	54
Question	311	289	502	104
Quizz	481	475	824	128
Slide	131	102	192	47
Speaker	34	72	103	24
Student	519	709	1066	172
Teach	259	943	1103	110
Teacher	248	1481	1642	119
Time	1049	1337	2099	238
Topic	236	951	1066	130
Video	941	1421	2058	245